Deep learning to predict fetal acidemia
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Published:2024-07
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Volume:
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ISSN:0002-9378
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Container-title:American Journal of Obstetrics and Gynecology
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language:en
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Short-container-title:American Journal of Obstetrics and Gynecology
Author:
Keenan EmersonORCID,
Georgieva Antoniya,
Brownfoot Fiona C.
Reference3 articles.
1. Intrapartum electronic fetal heart rate monitoring to predict acidemia at birth with the use of deep learning;Mccoy;Am J Obstet Gynecol,2024
2. Computerised cardiotocography analysis for the automated detection of fetal compromise during labour: a review;Mendis;Bioengineering (Basel),2023
3. Multimodal convolutional neural networks to detect fetal compromise during labor and delivery;Petrozziello;IEEE Access,2019
Cited by
1 articles.
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1. Deep learning to predict fetal acidemia: a response;American Journal of Obstetrics and Gynecology;2024-07